scholarly journals Liquid Biopsy Test Based on a Sensitive DNA Methylation Assay for Diagnosing Hepatocellular Carcinoma:Which Is a Better Marker, Methylated SST Or SEPT9?

2021 ◽  
Vol 70 (3) ◽  
pp. 89-98
Author(s):  
Ayano YAMASAKI ◽  
Yutaka SUEHIRO ◽  
Tomomi HOSHIDA ◽  
Issei SAEKI ◽  
Yurika YAMAUCHI(KOTOH) ◽  
...  
2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii406-iii406
Author(s):  
Julien Masliah-Planchon ◽  
Elodie Girard ◽  
Philipp Euskirchen ◽  
Christine Bourneix ◽  
Delphine Lequin ◽  
...  

Abstract Medulloblastoma (MB) can be classified into four molecular subgroups (WNT group, SHH group, group 3, and group 4). The gold standard of assignment of molecular subgroup through DNA methylation profiling uses Illumina EPIC array. However, this tool has some limitation in terms of cost and timing, in order to get the results soon enough for clinical use. We present an alternative DNA methylation assay based on nanopore sequencing efficient for rapid, cheaper, and reliable subgrouping of clinical MB samples. Low-depth whole genome with long-read single-molecule nanopore sequencing was used to simultaneously assess copy number profile and MB subgrouping based on DNA methylation. The DNA methylation data generated by Nanopore sequencing were compared to a publicly available reference cohort comprising over 2,800 brain tumors including the four subgroups of MB (Capper et al. Nature; 2018) to generate a score that estimates a confidence with a tumor group assignment. Among the 24 MB analyzed with nanopore sequencing (six WNT, nine SHH, five group 3, and four group 4), all of them were classified in the appropriate subgroup established by expression-based Nanostring subgrouping. In addition to the subgrouping, we also examine the genomic profile. Furthermore, all previously identified clinically relevant genomic rearrangements (mostly MYC and MYCN amplifications) were also detected with our assay. In conclusion, we are confirming the full reliability of nanopore sequencing as a novel rapid and cheap assay for methylation-based MB subgrouping. We now plan to implement this technology to other embryonal tumors of the central nervous system.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Weimei Ruan ◽  
Xu Chen ◽  
Ming Huang ◽  
Hong Wang ◽  
Jiaxin Chen ◽  
...  

Abstract Background Current non-invasive tests have limited sensitivities and lack capabilities of pre-operative risk stratification for bladder cancer (BC) diagnosis. We aimed to develop and validate a urine-based DNA methylation assay as a clinically feasible test for improving BC detection and enabling pre-operative risk stratifications. Methods A urine-based DNA methylation assay was developed and validated by retrospective single-center studies in patients of suspected BC in Cohort 1 (n = 192) and Cohort 2 (n = 98), respectively. In addition, a prospective single-center study in hematuria patient group (Cohort 3, n = 174) was used as a second validation of the model. Results The assay with a dual-marker detection model showed 88.1% and 91.2% sensitivities, 89.7% and 85.7% specificities in validation Cohort 2 (patients of suspected BC) and Cohort 3 (patients of hematuria), respectively. Furthermore, this assay showed improved sensitivities over cytology and FISH on detecting low-grade tumor (66.7–77.8% vs. 0.0–22.2%, 0.0–22.2%), Ta tumor (83.3% vs. 22.2–41.2%, 44.4–52.9%) and non-muscle invasive BC (NMIBC) (80.0–89.7% vs. 51.5–52.0%, 59.4–72.0%) in both cohorts. The assay also had higher accuracies (88.9–95.8%) in diagnosing cases with concurrent genitourinary disorders as compared to cytology (55.6–70.8%) and FISH (72.2–77.8%). Meanwhile, the assay with a five-marker stratification model identified high-risk NMIBC and muscle invasive BC with 90.5% sensitivity and 86.8% specificity in Cohort 2. Conclusions The urine-based DNA methylation assay represents a highly sensitive and specific approach for BC early-stage detection and risk stratification. It has a potential to be used as a routine test to improve diagnosis and prognosis of BC in clinic.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi111-vi111
Author(s):  
Thais Sarraf Sabedot ◽  
Tathiane Malta ◽  
James Snyder ◽  
Tobias Walbert ◽  
Ian Lee ◽  
...  

Abstract Meningiomas are mostly benign CNS tumors, however a subset of these tumors may become atypical or malignant. The standard of care to monitor patients after diagnosis requires serial MRI assessments, which have limited value in distinguishing malignant tumors from benign disease. Therefore the discovery of non-invasive methodologies that reflect meningioma tumor burden and its dynamic evolution in real-time is highly desirable. Liquid biopsy (LB) could be used to fine-tune surveillance and treatment with minimal risk to patients. Evidence of circulating tumor cells and cell-free (cf) tumor DNA in the blood has been shown in several tumor types, however limited progress has been made for brain tumors with known biomarkers; possibly due to the unlikelihood of capturing point mutations in circulating DNA fragments. On the other hand, DNA methylation signatures are maintained even in small DNA fragments, which suggests that DNA methylation is an attractive marker to be studied in liquid biopsy of brain cancers. In order to identify DNA methylation-based biomarkers using archival serum and tissue specimens, we analyzed the epigenome (Illumina Human EPIC array) of patients with primary (n=10) and recurrent (n=4) meningiomas and epileptic patients (n=5) as control. cfDNA fragment size distribution revealed peaks with 150~200bp on average. We identified 482 CpGs (p-value< 0.001) differentially methylated between primary meningiomas and controls, which 294 (61%) show a DNA methylation profile similar to the matched tumor tissue. Overall, we observed that recurrent samples are hypermethylated (56%) compared to primary. From this pilot data, we were able to investigate the LB methylome of meningioma patients and identify potential markers to detect tumor cells in the serum of these patients, which could eventually allow clinicians to monitor impending disease progression and recurrence.


The Analyst ◽  
2013 ◽  
Vol 138 (22) ◽  
pp. 6969 ◽  
Author(s):  
Jeongkyeong Na ◽  
Gi Won Shin ◽  
Gyu Yong Jung ◽  
Gyoo Yeol Jung

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi102-vi102
Author(s):  
Michael Wells ◽  
Thais Sarraf Sabedot ◽  
Karam Asmaro ◽  
Maritza Mosella ◽  
Tathiane Malta ◽  
...  

Abstract Pituitary tumors are the second most common CNS neoplasia (~15%). Despite mostly benign and slow-growing, they may be nonfunctioning and invade surrounding structures resulting in significant comorbidities. Currently, classification of PT according to their risk for aggressiveness is mainly based on invasiveness detected by imaging methods and histopathological features which requires surgically resected tumor. Being able to detect molecular markers associated with tumor subtypes and behavior pre-surgically using minimally invasive approaches (blood draw) is desirable in these tumors and may help to address current diagnostic and therapeutic challenges. In tissue specimens, distinct DNA methylation patterns distinguish PT according to their functional status but their role in invasiveness is still unclear. We hypothesized that profiling cell-free DNA (cfDNA) released by PT into the bloodstream allow the identification of epigenetic markers associated with relevant clinicopathological features. Genome-wide methylome profile of paired serum cfDNA (EPIC array) and tissue from 13 patients with pituitary macroadenomas (9 males; median age: 62; 9 Nonfunctioning/4 functioning, 6 invasive/7 noninvasive) and 3 controls serum (patients with epilepsy). Unsupervised analysis of the serum methylome from patients harboring PT was distinct from controls and other diseases (hypopituitarism, glioma and colorectal cancer) and supervised analysis (Wilcoxon Rank-sum Test) identified significant differentially methylated probes (DMP) that segregated PT from control serum specimens. Nonfunctioning and invasive-specific DMPs identified in the serum also defined functional, and less prominently invasive status, in the tissue of an independent cohort of PT. This is the first study to show the feasibility to profile the serum methylome from patients with PT using cfDNA. In addition, we identified unique methylation signatures that distinguished PT according to functional and invasiveness subtypes. These results underpin the potential role of methylation profile and liquid biopsy as a noninvasive approach to assess clinically relevant molecular features in the serum of patients harboring PT.


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